code: def visualize(
      profilers,
      filename="profile.html",
      show=True,
      save=None,
      mode=None,
      **kwargs,
  ):
      """Visualize the results of profiling in a bokeh plot.
  
      If multiple profilers are passed in, the plots are stacked vertically.
  
      Parameters
      ----------
      profilers : profiler or list
          Profiler or list of profilers.
      filename : string, optional
          Name of the plot output file.
      show : boolean, optional
          If True (default), the plot is opened in a browser.
      save : boolean, optional
          If True (default when not in notebook), the plot is saved to disk.
      mode : str, optional
          Mode passed to bokeh.output_file()
      **kwargs
          Other keyword arguments, passed to bokeh.figure. These will override
          all defaults set by visualize.
  
      Returns
      -------
      The completed bokeh plot object.
      """
      bp = import_required("bokeh.plotting", _BOKEH_MISSING_MSG)
      from bokeh.io import state
  
      if "file_path" in kwargs:
          warnings.warn(
              "The file_path keyword argument is deprecated "
              "and will be removed in a future release. "
              "Please use filename instead.",
              category=FutureWarning,
              stacklevel=2,
          )
          filename = kwargs.pop("file_path")
  
      if save is None:
          save = not state.curstate().notebook
  
      if not isinstance(profilers, list):
          profilers = [profilers]
      figs = [prof._plot(**kwargs) for prof in profilers]
      # Stack the plots
      if len(figs) == 1:
          p = figs[0]
      else:
          top = figs[0]
          for f in figs[1:]:
              f.x_range = top.x_range
              f.title = None
              f.min_border_top = 20
              if BOKEH_VERSION().major < 3:
                  f.plot_height -= 30
              else:
                  f.height -= 30
          for f in figs[:-1]:
              f.xaxis.axis_label = None
              f.min_border_bottom = 20
              if BOKEH_VERSION().major < 3:
                  f.plot_height -= 30
              else:
                  f.height -= 30
          for f in figs:
              f.min_border_left = 75
              f.min_border_right = 75
          p = bp.gridplot([[f] for f in figs])
      if show:
          bp.show(p)
      if save:
          bp.output_file(filename, mode=mode)
          bp.save(p)
      return p
  
file_path: dask/dask/diagnostics/profile_visualize.py
imports: from __future__ import annotations
  import random
  import warnings
  from bisect import bisect_left
  from itertools import cycle
  from operator import add, itemgetter
  from tlz import accumulate, groupby, pluck, unique
  from dask.core import istask
  from dask.utils import apply, funcname, import_required
label_desc: Use image node_id 5 for calling a global function with example usage: visualize(profilers, filename, show, save, mode) and returns: p